Docker Container Lifecycles, problem or opportunity?
summary
Argues that a promotion-based model is necessary because docker build creates non-deterministic images (unpinned deps, latest tags), shows a concrete pipeline: build once, push immutable image, promote across repositories using an Artifactory virtual repo and URL-rewrite/virtual-host tricks, and use metadata plus AQL queries to find and filter images. Covers Docker tag and registry limitations, register-mirror constraints, and demonstrates scripting promotion hooks so the exact image that passed tests is the one deployed to production.
AI-written summary · about
chapters (5)
- 0:00Start
- 8:10Pipeline: Quality Gates and Visibility
- 23:42Virtual Repositories FTW
- 29:22Adding Metadata
- 30:13Consuming Metadata
related talks
33mDocker Container Lifecycles – Problem or Opportunity?
16mBest Practices for Container Image Promotion Pipelines
15mKeynote: Best Practices In Implementing Container Image Promotion Pipelines
40mBest Practices In Implementing Container Image Promotion Pipelines- 40mBest Practices In Implementing Container Image Promotion Pipelines
49mContinuous Delivery at Docker age
57mKiller Docker Workflows for Development
31mBuilding a private CI/CD pipeline with Java and Docker in the Cloud